Cold plasma is known as a novel nonthermal processing method for decontamination of medicinal and aromatic plants (MAPs); however, there are little research studies about its effects on active ingredients of these plants. The aim of this research was to investigate the influence of low‐pressure cold plasma (LPCP) treatments (1, 3, and 5 min) on the essential oil (EO) content and composition of lemon verbena leaves. The EO content was determined using hydro‐distillation, and the composition of the extracted EOs was quantified using gas chromatography and gas chromatography–mass spectrometry techniques. The results showed that by increasing the LPCP treatment duration, the EO content was reduced from 1.2 to 0.9 (% v/w). The highest content of monoterpene hydrocarbons (e.g., limonene) and oxygenated sesquiterpenes (e.g., spathulenol and globulol) was also observed in LPCP‐treated ones, whereas the oxygenated monoterpenes (e.g., citral) content of control was measurably higher than those treated with LCPC.

Satureja is one of the important medicinal and aromatic genus of the Lamiaceae family due to the high valuable phenolic compounds, such as carvacrol and thymol, which is produced by the plants. It is considered as an important potential source of nutrient and valuable components thus, can serve to control some diseases such as antioxidant, antifungal, antibacterial, antiparasitic, antiviral, anti-inflammatory, antidiabetic, hepatoprotective, anticancer and cytotoxic effects. Essential oil and their constituents obtained from Satureja, have several applications as natural agents in maintaining the proper qualifications of food. The present review discusses on the ethnobotany, essential oil, aroma profile, agronomy, molecular studies and pharmacological activities accomplished so far. This assessment is mostly focusing to be responsible for related data on the phytochemical of Satureja species, with highlighting on aroma profile of the essential oil, providing information aimed at choosing the powerful accessions with the greatest aroma profiles and pharmacological activity.

Quality control of essential oils is an important topic in industrial processing of medicinal and aromatic plants. In this paper, the performance of Fuzzy Adaptive Resonant Theory Map (ARTMAP) and linear discriminant analysis (LDA) algorithms are compared in the specific task of quality classification of Rosa damascene essential oil samples (one of the most famous and valuable essential oils in the world) using an electronic nose (EN) system based on seven metal oxide semiconductor (MOS) sensors. First, with the aid of a GC-MS analysis, samples of Rosa damascene essential oils were classified into three different categories (low, middle, and high quality, classes C1, C2, and C3, respectively) based on the total percent of the most crucial qualitative compounds. An ad-hoc electronic nose (EN) system was implemented to sense the samples and acquire signals. Forty-nine features were extracted from the EN sensor matrix (seven parameters to describe each sensor curve response). The extracted features were ordered in relevance by the intra/inter variance criterion (Vr), also known as the Fisher discriminant. A leave-one-out cross validation technique was implemented for estimating the classification accuracy reached by both algorithms. Success rates were calculated using 10, 20, 30, and the entire selected features from the response of the sensor array. The results revealed a maximum classification accuracy of 99% when applying the Fuzzy ARTMAP algorithm and 82% for LDA, using the first 10 features in both cases. Further classification results explained that sub-optimal performance is likely to occur when all the response features are applied. It was found that an electronic nose system employing a Fuzzy ARTMAP classifier could become an accurate, easy, and inexpensive alternative tool for qualitative control in the production of Rosa damascene essential oil.

The genus of Ferula belongs to the family Apiaceae, and many Ferula plants are used as traditional Chinese medicines. Ferula plants were initially identified as early as the “Newly Revised Materia Medica” written in the Tang Dynasty (AD 659), and several of them are also recognized as the traditional medicines of the Uygur, Kazakh, and Mongolian. Ferula plants are distributed in China, Russia, India, Africa, Central Asia, and other places. Currently, the chemical components derived from Ferula plants are mainly coumarins, sesquiterpenes, and volatile oils. Ferula plants can exhibit diverse pharmacological activities such as anti-allergy, analgesia, relieving cough, anticoagulation, and anti-tumor. Therefore, this article summarized the domestic research conducted on the genus Ferula, appropriately combines the research status of the foreign genus Ferula, and describes the chemical composition, biological activity, toxicity issues, and Q-marker prediction. In addition, all the related studies about the genus Ferula are summarized by analyzing the various databases such as CNKI, Wanfang data, PubChem and SciFinder.